Global Weibull: Difference between revisions
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=== Properties === | === Properties === | ||
===== WeibullGeneralOptions ===== | |||
*'''[[WeibullGeneralOptions Class|WeibullGeneralOptions]]''' {{Template:APIComment|Weibull solver general options}} | *'''[[WeibullGeneralOptions Class|WeibullGeneralOptions]]''' {{Template:APIComment|Weibull solver general options}} | ||
*'''[[WarnNegLocation ]]''' {{Template:APIComment|Whether to generate a warning if location parameter is negative.}} | *'''[[WeibullGeneralOptions.WarnNegLocation]]''' {{Template:APIComment|Whether to generate a warning if location parameter is negative.}} | ||
*'''[[DiscardNegLocation ]]''' {{APIComment|For rank regression, resets location parameter to 0. For MLE finds the maximum in the possible domain.}} | *'''[[WeibullGeneralOptions.DiscardNegLocation]]''' {{APIComment|For rank regression, resets location parameter to 0. For MLE finds the maximum in the possible domain.}} | ||
*'''[[ResetExpLocation ]]''' {{Template:APIComment|For exponential distribution with rank regression, if the location parameter is greater than the first time-to-failure (T1), it is reset to T1.}} | *'''[[WeibullGeneralOptions.ResetExpLocation]]''' {{Template:APIComment|For exponential distribution with rank regression, if the location parameter is greater than the first time-to-failure (T1), it is reset to T1.}} | ||
*'''[[Use3PTrueMLE ]]''' {{APIComment|Whether to use a full MLE solution on 3-parameter Weibull.}} | *'''[[WeibullGeneralOptions.Use3PTrueMLE]]''' {{APIComment|Whether to use a full MLE solution on 3-parameter Weibull.}} | ||
*'''[[UseExtendedGGamma ]]''' {{APIComment|If set to true, allows the Lambda parameter in the Generalized Gamma distribution to be negative.}} | *'''[[WeibullGeneralOptions.UseExtendedGGamma]]''' {{APIComment|If set to true, allows the Lambda parameter in the Generalized Gamma distribution to be negative.}} | ||
*'''[[AllowBiasingNormal]]''' {{Template:APIComment|If set to true and using normal distribution (complete data only), corrects the MLE Std (sigma) for biasedness.}} | *'''[[WeibullGeneralOptions.AllowBiasingNormal]]''' {{Template:APIComment|If set to true and using normal distribution (complete data only), corrects the MLE Std (sigma) for biasedness.}} | ||
*'''[[UsePlottedYPoints ]]''' {{Template:APIComment|If set to true, uses computed plot points in obtaining D for Kolmogorov-Smirnov test.}} | *'''[[WeibullGeneralOptions.UsePlottedYPoints]]''' {{Template:APIComment|If set to true, uses computed plot points in obtaining D for Kolmogorov-Smirnov test.}} | ||
===== WeibullAnalysisOptions ===== | |||
*'''[[WeibullAnalysisOptions]]''' {{Template:APIComment|Weibull solver analysis options}} | *'''[[WeibullAnalysisOptions]]''' {{Template:APIComment|Weibull solver analysis options}} | ||
*'''[[Distribution ]]''' {{Template:APIComment|Called by ‘sender’ when a message should be displayed.}} | *'''[[Distribution ]]''' {{Template:APIComment|Called by ‘sender’ when a message should be displayed.}} | ||
*'''[[Parameters ]]''' {{Template:APIComment|Returns an array containing model parameters and their values.}} | *'''[[Parameters ]]''' {{Template:APIComment|Returns an array containing model parameters and their values.}} | ||
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*'''[[Bayesian_PriorDistribution]]''' {{Template:APIComment|Bayesian Distribution}} | *'''[[Bayesian_PriorDistribution]]''' {{Template:APIComment|Bayesian Distribution}} | ||
== WeibullBestFitOptions == | ===== WeibullBestFitOptions ===== | ||
*'''[[WeibullBestFitOptions]]''' {{Template:APIComment|Whether each weibull distribution is the best fit}} | *'''[[WeibullBestFitOptions]]''' {{Template:APIComment|Whether each weibull distribution is the best fit}} | ||
*'''[[WeibullBestFitOptions.AllowExponential1 ]]''' {{Template:APIComment|Whether Exponential1 is the best fit option}} | *'''[[WeibullBestFitOptions.AllowExponential1 ]]''' {{Template:APIComment|Whether Exponential1 is the best fit option}} | ||
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*'''[[WeibullBestFitOptions.UseSpecialSort ]]''' {{Template:APIComment|Whether or not to sort.}} | *'''[[WeibullBestFitOptions.UseSpecialSort ]]''' {{Template:APIComment|Whether or not to sort.}} | ||
== WeibullEvents == | ===== WeibullEvents ===== | ||
*'''[[WeibullEvents Class|WeibullEvents]]''' {{Template:APIComment|Inherit the class, override its methods and assign its instance to the Events property of a Weibull data set to be able to handle its events.}} | *'''[[WeibullEvents Class|WeibullEvents]]''' {{Template:APIComment|Inherit the class, override its methods and assign its instance to the Events property of a Weibull data set to be able to handle its events.}} | ||
*'''[[Message]]''' {{Template:APIComment|Called by ‘sender’ when a message should be displayed.}} | *'''[[WeibullEvents.Message]]''' {{Template:APIComment|Called by ‘sender’ when a message should be displayed.}} | ||
*'''[[Question]]''' {{Template:APIComment|Called by ‘sender’ when an answer to the question is required.}} | *'''[[WeibullEvents.Question]]''' {{Template:APIComment|Called by ‘sender’ when an answer to the question is required.}} | ||
*'''[[GetDistrParameters]]''' {{Template:APIComment|Called by ‘sender’ when additional input is required.}} | *'''[[WeibullEvents.GetDistrParameters]]''' {{Template:APIComment|Called by ‘sender’ when additional input is required.}} | ||
*'''[[UpdateCalculationProgress]]''' {{Template:APIComment|Called by ‘sender’ when calculation progress should be updated.}} | *'''[[WeibullEvents.UpdateCalculationProgress]]''' {{Template:APIComment|Called by ‘sender’ when calculation progress should be updated.}} | ||
*'''[[ShowCalculationProgress]]''' {{Template:APIComment|Called by ‘sender’ when calculation progress should be shown.}} | *'''[[WeibullEvents.ShowCalculationProgress]]''' {{Template:APIComment|Called by ‘sender’ when calculation progress should be shown.}} | ||
*'''[[HideCalculationProgress]]''' {{Template:APIComment|Called by ‘sender’ when calculation progress should be hidden.}} | *'''[[WeibullEvents.HideCalculationProgress]]''' {{Template:APIComment|Called by ‘sender’ when calculation progress should be hidden.}} |
Revision as of 21:26, 16 September 2013
Constructors
- WeibullSolverDistribution Available Weibull solver distributions. This includes Weibull, Normal, Exponential, Lognormal, G_Gamma, Logistic, Loglogistic, Gumbel, Gamma, and Bayesian distribution.
- WeibullSolverNumParameters Available Weibull solver distribution parameters. This includes MS_1Parameter, MS_2Parameter, MS_3Parameter, and MS_Mixed.
- WeibullSolverMethod Available Weibull solver analysis methods. This includes RRX, RRY, and MLE.
- WeibullSolverRankMethod Available Weibull solver ranking methods. This includes Median, kaplanMeir, and Actuarial.
- WeibullSolverCBMethod Available Weibull solver confidence bounds methods. This includes FisherMatrix, LikeihoodRatio, BetaBinomial, and KTO.
- WeibullBayesianPriorDistribution Available Weibull-Bayesian distributions. This includes Normal, Lognormal, Exponential, and Uniform distributions.
- WeibullBayesianResultsOption Available Bayesian Weibull-Bayesian result options. This includes Median and Mean.
Properties
WeibullGeneralOptions
- WeibullGeneralOptions Weibull solver general options
- WeibullGeneralOptions.WarnNegLocation Whether to generate a warning if location parameter is negative.
- WeibullGeneralOptions.DiscardNegLocation For rank regression, resets location parameter to 0. For MLE finds the maximum in the possible domain.
- WeibullGeneralOptions.ResetExpLocation For exponential distribution with rank regression, if the location parameter is greater than the first time-to-failure (T1), it is reset to T1.
- WeibullGeneralOptions.Use3PTrueMLE Whether to use a full MLE solution on 3-parameter Weibull.
- WeibullGeneralOptions.UseExtendedGGamma If set to true, allows the Lambda parameter in the Generalized Gamma distribution to be negative.
- WeibullGeneralOptions.AllowBiasingNormal If set to true and using normal distribution (complete data only), corrects the MLE Std (sigma) for biasedness.
- WeibullGeneralOptions.UsePlottedYPoints If set to true, uses computed plot points in obtaining D for Kolmogorov-Smirnov test.
WeibullAnalysisOptions
- WeibullAnalysisOptions Weibull solver analysis options
- Distribution Called by ‘sender’ when a message should be displayed.
- Parameters Returns an array containing model parameters and their values.
- Analysis Sets ALTA solver model to MLE
- RankingMethod Sets ranking method
- UseRSRegression Whether or not to use RSRegression
- ConfBounds Sets Confidence Bounds
- UngroupGroupedData Whether or not data is ungrouped data
- Subpopulations Mixed Weibull
- Weibull_UnbiasParameters Whether or not to use Weibull Unbias Parameters -Weibull-2 MLE.
- Bayesian_PriorDistribution Bayesian Distribution
- Bayesian_Mean Sets Bayesian Mean Distribution
- Bayesian_Std Sets Bayesian StdDistribution
- Bayesian_Lambda Sets Bayesian Lambda Distribution
- Bayesian_MinBeta Sets Bayesian Minimum Beta Distribution
- Bayesian_MaxBeta Sets Bayesian Maximum Beta Distribution
- Bayesian_Results Sets Bayesian Results Distribution
- SortBeforeCalculations Whether or not data is sorted before calculations.
- UseSpecialSort Whether or not to sort.
- Bayesian_PriorDistribution Bayesian Distribution
WeibullBestFitOptions
- WeibullBestFitOptions Whether each weibull distribution is the best fit
- WeibullBestFitOptions.AllowExponential1 Whether Exponential1 is the best fit option
- WeibullBestFitOptions.AllowExponential2 Whether Exponential2 is the best fit option
- WeibullBestFitOptions.AllowNormal Whether Normal is the best fit option
- WeibullBestFitOptions.AllowLognormal Whether Lognormal is the best fit option
- WeibullBestFitOptions.AllowWeibull2 Whether Weibull2 is the best fit option
- WeibullBestFitOptions.AllowWeibull3 Whether Weibull3 is the best fit option
- WeibullBestFitOptions.AllowGamma Whether Gamma is the best fit option
- WeibullBestFitOptions.AllowGenGamma Whether GenGamma is the best fit option
- WeibullBestFitOptions.AllowLogistic Whether Logistic is the best fit option
- WeibullBestFitOptions.AllowLoglogistic Whether Loglogistic is the best fit option
- WeibullBestFitOptions.AllowGumbel Whether Gumbel is the best fit option
- WeibullBestFitOptions.Analysis WSets ALTA solver model to MLE
- WeibullBestFitOptions.RankingMethod Sets ranking method
- WeibullBestFitOptions.UseRSRegression Whether or not to use RSRegression
- WeibullBestFitOptions.ConfBounds Sets Confidence Bounds
- WeibullBestFitOptions.UngroupGroupedData Whether or not data is ungrouped data
- WeibullBestFitOptions.SortBeforeCalculations Whether or not data is sorted before calculations.
- WeibullBestFitOptions.UseSpecialSort Whether or not to sort.
WeibullEvents
- WeibullEvents Inherit the class, override its methods and assign its instance to the Events property of a Weibull data set to be able to handle its events.
- WeibullEvents.Message Called by ‘sender’ when a message should be displayed.
- WeibullEvents.Question Called by ‘sender’ when an answer to the question is required.
- WeibullEvents.GetDistrParameters Called by ‘sender’ when additional input is required.
- WeibullEvents.UpdateCalculationProgress Called by ‘sender’ when calculation progress should be updated.
- WeibullEvents.ShowCalculationProgress Called by ‘sender’ when calculation progress should be shown.
- WeibullEvents.HideCalculationProgress Called by ‘sender’ when calculation progress should be hidden.